Product Owner II - AI - Digital and Technology Partners - Clinical Data Science - Onsite/Hybrid

Mount Sinai Health System•New York, NY

10d•$120,000 - $180,060•Hybrid

About The Position

This is an onsite/hybrid position - requires one day a week onsite. Location: Mount Sinai Health, 150 E 42nd Street, New York, NY The Product Owner II is responsible for executing the strategic direction, continuous improvement, functional and technical roadmap for AI products. This role requires a deep understanding of both existing capabilities and the broader AI marketplace (commercial vendor tools, Epic-integrated features, and emerging digital and AI innovations). Product Owners work with cross functional teams to: Understand how to compete and differentiate in product delivery Build the right foundations to create and scale differentiated experiences Plan, manage, and drive applications for success in meeting product experience goals Manage backlog of product deliverables, and groom according to learnings from qualitative and quantitative sources and in alignment with organizational goals Consult with stakeholders to define requirements and develop solutions translating client's business requirements into specific systems, applications and designs for solutions. Ensure all products meet internal AI governance and compliance standards by routing applicable tools through the AI Assurance Lab for risk evaluation, model card documentation, and performance monitoring. As a leader in the organization the Product Owner II will also be responsible for leadership activities inclusive but not limited to the following. Advising leadership on the technology portfolio within and sometimes outside of a product area of focus Utilize in-depth knowledge of technological alternatives and directions, business systems and requirements to conduct independent analyses and reviews of technical and business requirements. Understanding the long-term business objectives and proposes technology strategies to meet those objectives by introducing innovation through technology Mentor and coach junior product owners or cross-functional partners Influence without direct authority across engineering, data science, design, operations, and compliance Drive alignment across multiple teams and stakeholders with competing priorities

Requirements

Bachelor's degree in a technical or healthcare discipline.
Nine or more years of related experience, In -depth knowledge of associated technology areas that could impact area of responsibility; healthcare technology experience preferred.
Excellent verbal and written communication skills, including the ability to translate complex technical concepts into understandable terms, tailor communication to audience, mediate and facilitate communications between others, and communicate architecture to all levels of management and customers.
Ability to gain buy-in from stakeholders to resolve significant architecture issues.

Responsibilities

Ensure technical design supports objectives and measures appropriately tying back to concept objectives supporting business goals
Lead the technical design process, the skillful application of experience, research and due diligence to the planning and execution of development and architecture.
Evaluate existing solutions or explore new solutions.
Prioritize the product backlog as a list of work for development derived from the product roadmap and its requirements
Determining the overall timelines for the projects and use tactical session/documents designed to capture and track the features planned for the project
Define what can be delivered according to project plans , and how that work will be achieved.
Utilize retrospectives as an opportunity to reflect on collaboration efforts and a time to identify how to apply past insights to the upcoming project or sprint.
Conduct demos to show the value of the product or project or service to a current or prospective business group.
As a Product Owner, manage product or product portfolio roadmap as a shared source of truth that outlines the vision, direction, priorities, and progress of a product over time.
Define and track KPIs and measurable success criteria
Partner with data science and engineering teams to ensure AI models are deployable, scalable, and maintainable
Oversee post-launch monitoring of AI performance, drift, and user impact
Drive iteration strategies for models based on real-world outcomes
Contribute to investment decisions by evaluating cost, value, and return
Consider total cost of ownership (build vs. buy, infrastructure, licensing)
Performs related duties as assigned or requested.